Abstract
We present here an image reconstruction and restoration method which gives superresolved images of point-targets in the region of interest. Here a “superresolved image” means an image whose resolution is not limited by diffraction and can be finer than a wavelength. In principle, the resolution can be improved up to the pixel spacing of the restored image. This method is composed of two stages.
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References
T. Miyashita, J. Nakayama, and H. Ogura: Acoustical Imaging (Plenum Press, New York, 1980) ed., K. Wang, vol.9, p.23.
H. Schwetlick, T. Miyashita, and M. Schickert: Ultrasonics International 1987 Conference Proc., p.20.
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© 1992 Springer Science+Business Media New York
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Miyashita, T. (1992). Superresolved Image Restoration of Holographic Images by L1-Norm Minimization with Clutter Rejection. In: Ermert, H., Harjes, HP. (eds) Acoustical Imaging. Acoustical Imaging, vol 19. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-3370-2_13
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DOI: https://doi.org/10.1007/978-1-4615-3370-2_13
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-6487-0
Online ISBN: 978-1-4615-3370-2
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